Mu Li

According to our database, Mu Li authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ISFB-GAN: Interpretable semantic face beautification with generative adversarial network.

Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, Yuan Xie, Yahan Sun, David Zhang

Expert Syst. Appl., February, 2024

Multi-view Instance Attention Fusion Network for classification.

Jinxing Li, Chuhao Zhou, Xiaoqiang Ji, Mu Li, Guangming Lu, Yong Xu, David Zhang

Inf. Fusion, January, 2024

A novel multi-feature learning model for disease diagnosis using face skin images.

Nannan Zhang, Zhixing Jiang, Mu Li, David Zhang

Comput. Biol. Medicine, January, 2024

2023

Learning efficient facial landmark model for human attractiveness analysis.

Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang

Pattern Recognit., June, 2023

Learning Context-Based Nonlocal Entropy Modeling for Image Compression.

Mu Li, Kai Zhang, Jinxing Li, Wangmeng Zuo, Radu Timofte, David Zhang

IEEE Trans. Neural Networks Learn. Syst., March, 2023

From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection.

Jinxing Li, Beicheng Liang, Xiangwei Lu, Mu Li, Guangming Lu, Yong Xu

IEEE Trans. Image Process., 2023

Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization.

Mu Li, Kanglong Fan, Kede Ma

CoRR, 2023

2022

End-to-End Optimized 360° Image Compression.

Mu Li, Jinxing Li, Shuhang Gu, Feng Wu, David Zhang

IEEE Trans. Image Process., 2022

2021

Learning Content-Weighted Deep Image Compression.

Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression.

Mu Li, Kede Ma, Jinxing Li, David Zhang

CoRR, 2021

2020

Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression.

Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo

IEEE Trans. Image Process., 2020

Similarity and diversity induced paired projection for cross-modal retrieval.

Jinxing Li, Mu Li, Guangming Lu, Bob Zhang, Hongpeng Yin, David Zhang

Inf. Sci., 2020

Learning Context-Based Non-local Entropy Modeling for Image Compression.

Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang

CoRR, 2020

Online Multi-view Subspace Learning with Mixed Noise.

Jinxing Li, Hongwei Yong, Feng Wu, Mu Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2018

Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression.

Mu Li, Shuhang Gu, David Zhang, Wangmeng Zuo

CoRR, 2018

Shift-Net: Image Inpainting via Deep Feature Rearrangement.

Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo, Shiguang Shan

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Convolutional Networks for Content-Weighted Image Compression.

Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification.

Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Joint distance and similarity measure learning based on triplet-based constraints.

Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo

Inf. Sci., 2017

2016

Deep Identity-aware Transfer of Facial Attributes.

Mu Li, Wangmeng Zuo, David Zhang

CoRR, 2016

Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation.

Mu Li, Wangmeng Zuo, David Zhang

CoRR, 2016

2015

Metric Learning with Relative Distance Constraints: A Modified SVM Approach.

Changchun Luo, Mu Li, Hongzhi Zhang, Faqiang Wang, David Zhang, Wangmeng Zuo

Proceedings of the Intelligent Computation in Big Data Era, 2015